Qwen-VL OCR vs Vision Large vs Aya Expanse 32B
Vision Large comes out ahead, 84 to 15 and 10 on our weighted score.
Alibaba (Qwen)Qwen-VL OCR
15/100- ECI—
- Price$0.72 / $0.72
- Context34K
- Our pick
VisparkVision Large
84/100- ECI—
- Price—
- Context1M
CohereAya Expanse 32B
10/100- ECI—
- Price$0.50 / $1.50
- Context128K
Vision Large is our pick
Vision Large is the better all-round choice, scoring 84/100 against Qwen-VL OCR (15) and Aya Expanse 32B (10). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceQwen-VL OCRQwen-VL OCR $0.72 · Aya Expanse 32B $0.75 per 1M tokens (3:1 blend) · Vision Large unpriced
- Longest contextVision LargeVision Large 1,000,000 · Aya Expanse 32B 128,000 · Qwen-VL OCR 34,096 tokens
- Widest inputsVision LargeQwen-VL OCR: Text, Images · Vision Large: Text, Images, PDFs, Audio, Video · Aya Expanse 32B: Text
- Self-hostingAya Expanse 32BPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Qwen-VL OCR | Vision Large | Aya Expanse 32B |
|---|---|---|---|---|
| Inputs & features | 60% | 25 | 100 | 0 |
| Context window | 40% | 1 | 60 | 24 |
| Overall | 100% | 15/100 | 84/100 | 10/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen-VL OCRAlibaba (Qwen) | Vision LargeVispark | Aya Expanse 32BCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.72 | — | $0.50 (best) |
| Output | $0.72 (best) | — | $1.50 |
| Cached input | — | — | — |
| Blended (3:1) | $0.72 (best) | — | $0.75 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official Alibaba API | — | Median of 1 providers |
| Limits | |||
| Context window | 34,096 tokens | 1,000,000 tokens (best) | 128,000 tokens |
| Max output | 4,096 tokens | 65,536 tokens (best) | 4,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | No |
| Tool calling | No | Yes | No |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | OpenCC-BY-NC-4.0 |
| API model ID | qwen-vl-ocr | — | c4ai-aya-expanse-32b |
| API providers | 1 | — | 2 (best) |
| Released | Oct 28, 2024 | May 15, 2024 | Oct 24, 2024 |
| Knowledge cutoff | Apr 2024 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen-VL OCR$8.64
- Vision Large—
- Aya Expanse 32B$8.00
Which should you choose?
Which is better: Qwen-VL OCR, Vision Large or Aya Expanse 32B?
Vision Large is the better all-round choice, scoring 84/100 against Qwen-VL OCR (15) and Aya Expanse 32B (10). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Qwen-VL OCR, Vision Large or Aya Expanse 32B?
Qwen-VL OCR is cheaper at $0.72 input / $0.72 output per million tokens (official Alibaba API price). Aya Expanse 32B costs $0.50 input / $1.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.72 per million tokens for Qwen-VL OCR versus $0.75 for Aya Expanse 32B (1× as much). Vision Large has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen-VL OCR has not been scored yet, Vision Large has not been scored yet and Aya Expanse 32B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen-VL OCR, Vision Large and Aya Expanse 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-VL OCR and Aya Expanse 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Vision Large has the largest context window at 1,000,000 tokens, against 128,000 for Aya Expanse 32B and 34,096 for Qwen-VL OCR. Maximum output per response: Qwen-VL OCR up to 4,096, Vision Large up to 65,536, Aya Expanse 32B up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Qwen-VL OCR accepts text and images; Vision Large accepts text, images, PDFs, audio and video; Aya Expanse 32B accepts text. Vision Large handles the widest range of inputs.
Are any of these open source?
Aya Expanse 32B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Qwen-VL OCR and Vision Large is proprietary.
Which is newer?
Qwen-VL OCR is the newest, released Oct 28, 2024. Aya Expanse 32B came out Oct 24, 2024; Vision Large came out May 15, 2024. Knowledge cutoff: Qwen-VL OCR Apr 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
